Using Arithmetic Coding for Reduction of Resulting Simulation Data Size on Massively Parallel GPGPUs

Authors:
Ana Balevic;Lars Rockstroh;Marek Wroblewski;Sven Simon
Affiliations:
Institute for Parallel and Distributed Systems, Stuttgart, Germany 70596;Institute for Parallel and Distributed Systems, Stuttgart, Germany 70596;Institute for Parallel and Distributed Systems, Stuttgart, Germany 70596;Institute for Parallel and Distributed Systems, Stuttgart, Germany 70596
Venue:
Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Year:
2008

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Abstract

The popularity of parallel platforms, such as general purpose graphics processing units (GPGPUs) for large-scale simulations is rapidly increasing, however the I/O bandwidth and storage capacity of these massively-parallel cards remain the major bottle necks. We propose a novel approach for post-processing of simulation data directly on GPGPUs by efficient data size reduction immediately after simulation that can considerably reduce the influence of these bottlenecks on the overall simulation performance, and present current performance results.